Multivariate analysis including cross validation and partial least square (PLS) techniques were applied for data management and prediction models building.
Multivariate analysis including those factors showed that the presence of lymph node metastasis (HR=1.94, P=0.005), high-risk signature (HR=1.62, P=0.04), and large tumour size (HR=1.60, P=0.04) were independent predictors of poor RFS.
Independent predictors of 90-days mortality (multivariate analysis including life supporting therapies).
CONCLUSION: In a multivariate analysis including comorbid conditions, age and stage were the only predictors of whether a patient was offered a trial.
In a multivariate analysis, including clinical risk factors and CRVE, mean CRAE increased from 143.6 microm in NFG to 145.3 microm with diabetes (P for trend = 0.01).
Multivariate analysis including all significant variables in bivariate analysis (p < 0.05), except surgery during ICU stay, surgery (overall) and adequate surgery, identified 4 independent prognostic factors.
In a multivariate analysis including several risk factors, only inhomogeneous myocardial perfusion turned out as an independent predictor for the development of allograft dysfunction.
Multivariate analysis, including principal component analysis (PCA) and hierarchical cluster analysis (HCA), were used to link the paint components with the composition of their local sources.
As a sensitivity analysis, we therefore repeated the multivariate analysis including only male cases and controls.
Multivariate analysis including stage, histology, age and gender showed that HSP90 remained independently related to survival.
In the multivariate analysis including all 86 patients, ER emerged as the strongest predictor of TTP and OS.
